Natural Language Generation NLG Powerpoint Presentation Slides
Check out our professionally designed Natural Language Generation NLG IT PowerPoint presentation, which briefly explains natural language generation, importance, efficiency, work, tasks, models, pipeline steps, tools, and evaluation methods. In this NLG-powered communication deck, we have covered the main components of NLG, different types and variants, advantages, and comparisons between natural language processing, natural language generation, and natural language understanding. In addition, this Automated narrative generation PPT contains a section about natural language processing, covering introduction, working phases, syntax, and semantic analysis techniques. Also, the Intelligent text generation template includes the business benefits of NLG in data analytics, different NLG efficiencies, covering labels, parameters, and computing. Moreover, this AI-generated writing module comprises applications of NLG in other domains, its business impact, challenges and solutions of content automation and training, and the budget to develop an NLG system. Lastly, this Automated content generation PowerPoint contains a timeline and a roadmap to build a natural language generation system and the future of NLG technology. Download our 100 percent editable and customizable template, also compatible with Google Slides.
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This complete presentation has PPT slides on wide range of topics highlighting the core areas of your business needs. It has professionally designed templates with relevant visuals and subject driven content. This presentation deck has total of eighty four slides. Get access to the customizable templates. Our designers have created editable templates for your convenience. You can edit the color, text and font size as per your need. You can add or delete the content if required. You are just a click to away to have this ready-made presentation. Click the download button now.
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Content of this Powerpoint Presentation
Slide 1: This slide introduces Natural Language Generation (NLG).
Slide 2: This is an Agenda slide. State your agendas here.
Slide 3: The slide displays table of contents for presentation.
Slide 4: The slide continues table of contents.
Slide 5: The slide showcases another table of contents.
Slide 6: This slide gives an overview of the Natural Language Generation system.
Slide 7: This slide illustrates the five main components of Natural Language Generation.
Slide 8: This slide outlines the main types of Natural Language Generation technology.
Slide 9: This slide highlights the various variant of Natural Language Generation technology.
Slide 10: This slide represents the advantages of Natural Language Generation technology.
Slide 11: The slide depicts title of contents further.
Slide 12: This slide gives an Introduction to Natural Language Processing technology.
Slide 13: This slide showcases the different phases of Natural Language Processing working.
Slide 14: This slide outlines the syntax and semantic analysis techniques used in Natural Language Processing .
Slide 15: This slide represents the advantages of Natural Language Processing to different organizations.
Slide 16: The slide also contains title of contents further.
Slide 17: This slide presents the comparison between Natural Language Processing , Natural Language Generation, and natural language understanding.
Slide 18: The slide highlights title of contents which is to be discussed further.
Slide 19: This slide renders why Natural Language Generation is essential for businesses.
Slide 20: This slide illustrates the business processes that can benefit from Natural Language Generation.
Slide 21: This slide highlights the global market overview of the Natural Language Generation market.
Slide 22: The slide renders title of contents further.
Slide 23: This slide presents the organizational benefits of Natural Language Generation systems in data analytics.
Slide 24: This slide outlines the role of Natural Language Generation in analytics platforms used by businesses.
Slide 25: The slide depicts another title of contents.
Slide 26: This slide highlights the overview of label efficiency in Natural Language Generation.
Slide 27: This slide gives an overview of the parameter efficiency in Natural Language Generation.
Slide 28: This slide highlights the overview of compute efficiency in retrieval-augmented Natural Language Generation.
Slide 29: The slide again demonstrates title of contents.
Slide 30: This slide outlines the computer science processes that enable Natural Language Generation.
Slide 31: This slide illustrates the Working phases of Natural Language Generation technology.
Slide 32: This slide describes the various tasks performed by the NLG system.
Slide 33: This slide depicts the main models and methodologies used in Natural Language Generation.
Slide 34: This slide represents the primary models of transformers used in Natural Language Generation.
Slide 35: The slide highlights title of contents further.
Slide 36: This slide outlines the overview of the pipeline steps of Natural Language Generation.
Slide 37: The slide also exhibits title of contents.
Slide 38: This slide represents the leading tools that offer Natural Language Generation services.
Slide 39: This slide outlines the leading companies that provide Natural Language Generation tools and services.
Slide 40: The slide displays title of contents further.
Slide 41: This slide represents the different needs of a Natural Language Generation system.
Slide 42: This slide gives an overview of features that an excellent Natural Language Generation system should have.
Slide 43: The slide depicts another title of contents.
Slide 44: This slide describes the essential steps organizations should take while using Natural Language Generation more efficiently.
Slide 45: This slide presents the main steps to using Natural Language Generation in business operations.
Slide 46: This slide shows how neural networks can be used to build Natural Language Generation models.
Slide 47: This slide outlines the main models used for data-efficient modeling in Natural Language Generation.
Slide 48: This slide illustrates the bucketing techniques used in Natural Language Generation.
Slide 49: The slide shows title of contents further.
Slide 50: This slide highlights the three main methods to evaluate Natural Language Generation systems by businesses.
Slide 51: This slide illustrates the factors that should be considered while evaluating a Natural Language Generation system.
Slide 52: This slide describes the parameters used for human judgments to evaluate Natural Language Generation systems.
Slide 53: This slide represents the metrics to evaluate Natural Language Generation systems.
Slide 54: This slide illustrates how Natural Language Generation models are assessed.
Slide 55: This slide outlines the various phases of NLG system testing.
Slide 56: The slide depicts another title of contents.
Slide 57: This slide describes the use cases of Natural Language Generation.
Slide 58: This slide represents the use cases of Natural Language Generation in different industries.
Slide 59: This slide presents the applications of Natural Language Generation in banking and insurance services.
Slide 60: This slide outlines the applications of natural language understanding in the healthcare industry.
Slide 61: This slide showcases the use cases of Natural Language Generation in retail.
Slide 62: This slide illustrates the role of Natural Language Generation in the telecom industry.
Slide 63: This slide describes the use cases of NLG in the tourism and travel industry.
Slide 64: This slide outlines the applications of NLG in the manufacturing sector.
Slide 65: This slide represents the applications of Natural Language Generation in business operations.
Slide 66: This slide presents the different instances of advanced Natural Language Generation applications.
Slide 67: This slide outlines some real-world instances of automated content generation using NLG methods.
Slide 68: The slide describes title of contents further.
Slide 69: This slide represents the impact of Natural Language Generation technology on organizations.
Slide 70: The slide highlights title of contents which is to be discussed further.
Slide 71: This slide presents an organization's before vs. after Natural Language Generation adoption state.
Slide 72: The slide also contains title of contents.
Slide 73: This slide outlines the challenges and solutions related to automated content generation.
Slide 74: The slide again renders title of contents.
Slide 75: This slide describes the training program for Natural Language Generation systems.
Slide 76: This slide represents the timeline to develop an NLG system.
Slide 77: The slide exhibits another title of contents.
Slide 78: This slide presents the timeline to develop a NLG system.
Slide 79: The slide displays title of contents further.
Slide 80: This slide outlines the roadmap to develop NLG systems.
Slide 81: The slide highlights another title of contents.
Slide 82: This slide represents the future of NLG by outlining the different future enhancements in the technology.
Slide 83: This slide shows all the icons included in the presentation.
Slide 84: This is a Thank You slide with address, contact numbers and email address.
Natural Language Generation NLG Powerpoint Presentation Slides with all 89 slides:
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FAQs
Natural Language Generation (NLG) is a technology that involves the automatic generation of human-like text or speech from data. The main components of NLG are Content Determination, Document Structuring, Sentence Aggregation, Lexicalization, and Referring Expression Generation.
Natural Language Generation technology offers several advantages, including efficient content generation, enhanced communication, personalized interactions, improved data visualization, and streamlined reporting processes
Natural Language Processing (NLP) is the technology that enables computers to understand and process human language. Its phases include Tokenization, Part-of-Speech Tagging, Syntax Analysis, Semantic Analysis, Discourse Integration, and Pragmatic Analysis.
Natural Language Generation plays a vital role in business operations by automating content generation, improving data analysis and reporting, enhancing customer interactions, and facilitating communication within organizations.
Natural Language Generation systems are evaluated through human judgments, using metrics such as fluency, coherence, and informativeness. These systems undergo testing phases, including data preparation, model training, validation, and fine-tuning to ensure their performance and accuracy.
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